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y2019: Domain statistics of air pollutants in Japan

y2019: 領域内Ox, SPM, PM2.5, NOx濃度時系列(年間,月別)

2019年の領域内汚染物質濃度の時系列. 年間および月ごとの時系列図を用意.

This PHP file was generated by ~/public_html/air_pollution/domain_stat/120_mk_thumb.sh.

 2019年全体

  • Image filename = 211_domain_tseries_vVV_annual_YYYY_pPP.png
  • Plot script = (AP_opr)/040_plot_image/210_exec_tseries_fig.sh
    • Call 211_domain_tseries_annual.gmt inside the shell script mentioned above.
    • Update the latest two years at 04:45JST (19:45UTC).
  • See also SPM, PM2.5高濃度 (2019年)(if avail)

各領域内のOx, SPM, PM2.5 濃度のパーセンタイル値. 1枚あたり3領域,日本全体と国内の8領域に分割. 領域区分は,領域設定・統計値計算手順を参照.

Table 1. Domain statistics of Ox, SPM, PM2.5 in Japan during the year 2019. Domain 1: All Japan, 2: Okinawa, 3: Kyushu, 4: Chugoku-Shikoku, 5: Kinki, 6: Chubu, 7: Kanto, 8: Tohoku, and 9: Hokkaido.
domain Ox (y2019) SPM (y2019) PM2.5 (y2019) NOx (y2019)
Domain 1 - 3
(y2019)
NOx, Sep2019, page-01 NOx, Sep2019, page-01 NOx, Sep2019, page-01 NOx, Sep2019, page-01
Domain 4 - 6
(y2019)
NOx, Sep2019, page-02 NOx, Sep2019, page-02 NOx, Sep2019, page-02 NOx, Sep2019, page-02
Domain 7 - 9
(y2019)
NOx, Sep2019, page-03 NOx, Sep2019, page-03 NOx, Sep2019, page-03 NOx, Sep2019, page-03

 2019年,月別&領域別

  • Image filename = 218_domain_tseries_vVV_annual_YYYYMM_pPP.png
  • Plot script = (AP_opr)/040_plot_image/210_exec_tseries_fig.sh
    • Call 218_domain_tseries_month.gmt inside the shell script mentioned above.
    • Update the latest two years at 04:45JST (19:45UTC).

 y2019: 全国,沖縄,九州 (領域 1 - 3)

Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec,

Table 2. Domain statistics of hourly concentration of Ox, SPM, and PM2.5 in 2019. Thick solid line: median in the selected time and domain. Light shades: 10% and 90% of hourly concentration in the selected domain. All Japan (Domain-1; top), Okinawa (Domain-2; middle), and Kyushu (Domain-3; bottom).
Month Ox SPM PM2.5 NOx
Jan2019
(D1 - 3)
Ox, Jan2019, page-01 SPM, Jan2019, page-01 PM2.5, Jan2019, page-01 NOx, Jan2019, page-01
Feb2019
(D1 - 3)
Ox, Feb2019, page-01 SPM, Feb2019, page-01 PM2.5, Feb2019, page-01 NOx, Feb2019, page-01
Mar2019
(D1 - 3)
Ox, Mar2019, page-01 SPM, Mar2019, page-01 PM2.5, Mar2019, page-01 NOx, Mar2019, page-01
Month Ox SPM PM2.5 NOx
Apr2019
(D1 - 3)
Ox, Apr2019, page-01 SPM, Apr2019, page-01 PM2.5, Apr2019, page-01 NOx, Apr2019, page-01
May2019
(D1 - 3)
Ox, May2019, page-01 SPM, May2019, page-01 PM2.5, May2019, page-01 NOx, May2019, page-01
Jun2019
(D1 - 3)
Ox, Jun2019, page-01 SPM, Jun2019, page-01 PM2.5, Jun2019, page-01 NOx, Jun2019, page-01
Month Ox SPM PM2.5 NOx
Jul2019
(D1 - 3)
Ox, Jul2019, page-01 SPM, Jul2019, page-01 PM2.5, Jul2019, page-01 NOx, Jul2019, page-01
Aug2019
(D1 - 3)
Ox, Aug2019, page-01 SPM, Aug2019, page-01 PM2.5, Aug2019, page-01 NOx, Aug2019, page-01
Sep2019
(D1 - 3)
Ox, Sep2019, page-01 SPM, Sep2019, page-01 PM2.5, Sep2019, page-01 NOx, Sep2019, page-01
Month Ox SPM PM2.5 NOx
Oct2019
(D1 - 3)
Ox, Oct2019, page-01 SPM, Oct2019, page-01 PM2.5, Oct2019, page-01 NOx, Oct2019, page-01
Nov2019
(D1 - 3)
Ox, Nov2019, page-01 SPM, Nov2019, page-01 PM2.5, Nov2019, page-01 NOx, Nov2019, page-01
Dec2019
(D1 - 3)
Ox, Dec2019, page-01 SPM, Dec2019, page-01 PM2.5, Dec2019, page-01 NOx, Dec2019, page-01
Month Ox SPM PM2.5 NOx

 y2019: 中四国,近畿,中部 (領域 4 - 6)

Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec,

Table 3. Domain statistics of hourly concentration of Ox, SPM, and PM2.5 in 2019. Thick solid line: median in the selected time and domain. Light shades: 10% and 90% of hourly concentration in the selected domain. Chugoku-Shikoku (Domain-4; top), Kinki (Domain-5; middle), and Chubu (Domain-6; bottom).
Month Ox SPM PM2.5 NOx
Jan2019
(D4 - 6)
Ox, Jan2019, page-02 SPM, Jan2019, page-02 PM2.5, Jan2019, page-02 NOx, Jan2019, page-02
Feb2019
(D4 - 6)
Ox, Feb2019, page-02 SPM, Feb2019, page-02 PM2.5, Feb2019, page-02 NOx, Feb2019, page-02
Mar2019
(D4 - 6)
Ox, Mar2019, page-02 SPM, Mar2019, page-02 PM2.5, Mar2019, page-02 NOx, Mar2019, page-02
Month Ox SPM PM2.5 NOx
Apr2019
(D4 - 6)
Ox, Apr2019, page-02 SPM, Apr2019, page-02 PM2.5, Apr2019, page-02 NOx, Apr2019, page-02
May2019
(D4 - 6)
Ox, May2019, page-02 SPM, May2019, page-02 PM2.5, May2019, page-02 NOx, May2019, page-02
Jun2019
(D4 - 6)
Ox, Jun2019, page-02 SPM, Jun2019, page-02 PM2.5, Jun2019, page-02 NOx, Jun2019, page-02
Month Ox SPM PM2.5 NOx
Jul2019
(D4 - 6)
Ox, Jul2019, page-02 SPM, Jul2019, page-02 PM2.5, Jul2019, page-02 NOx, Jul2019, page-02
Aug2019
(D4 - 6)
Ox, Aug2019, page-02 SPM, Aug2019, page-02 PM2.5, Aug2019, page-02 NOx, Aug2019, page-02
Sep2019
(D4 - 6)
Ox, Sep2019, page-02 SPM, Sep2019, page-02 PM2.5, Sep2019, page-02 NOx, Sep2019, page-02
Month Ox SPM PM2.5 NOx
Oct2019
(D4 - 6)
Ox, Oct2019, page-02 SPM, Oct2019, page-02 PM2.5, Oct2019, page-02 NOx, Oct2019, page-02
Nov2019
(D4 - 6)
Ox, Nov2019, page-02 SPM, Nov2019, page-02 PM2.5, Nov2019, page-02 NOx, Nov2019, page-02
Dec2019
(D4 - 6)
Ox, Dec2019, page-02 SPM, Dec2019, page-02 PM2.5, Dec2019, page-02 NOx, Dec2019, page-02
Month Ox SPM PM2.5 NOx

 y2019: 関東,東北,北海道 (領域 7 - 9)

Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec,

Table 4. Domain statistics of hourly concentration of Ox, SPM, and PM2.5 in 2019. Thick solid line: median in the selected time and domain. Light shades: 10% and 90% of hourly concentration in the selected domain. Kanto (Domain-7; top), Tohoku (Domain-8; middle), and Hokkaido (Domain-9; bottom).
Month Ox SPM PM2.5 NOx
Jan2019
(D7 - 9)
Ox, Jan2019, page-03 SPM, Jan2019, page-03 PM2.5, Jan2019, page-03 NOx, Jan2019, page-03
Feb2019
(D7 - 9)
Ox, Feb2019, page-03 SPM, Feb2019, page-03 PM2.5, Feb2019, page-03 NOx, Feb2019, page-03
Mar2019
(D7 - 9)
Ox, Mar2019, page-03 SPM, Mar2019, page-03 PM2.5, Mar2019, page-03 NOx, Mar2019, page-03
Month Ox SPM PM2.5 NOx
Apr2019
(D7 - 9)
Ox, Apr2019, page-03 SPM, Apr2019, page-03 PM2.5, Apr2019, page-03 NOx, Apr2019, page-03
May2019
(D7 - 9)
Ox, May2019, page-03 SPM, May2019, page-03 PM2.5, May2019, page-03 NOx, May2019, page-03
Jun2019
(D7 - 9)
Ox, Jun2019, page-03 SPM, Jun2019, page-03 PM2.5, Jun2019, page-03 NOx, Jun2019, page-03
Month Ox SPM PM2.5 NOx
Jul2019
(D7 - 9)
Ox, Jul2019, page-03 SPM, Jul2019, page-03 PM2.5, Jul2019, page-03 NOx, Jul2019, page-03
Aug2019
(D7 - 9)
Ox, Aug2019, page-03 SPM, Aug2019, page-03 PM2.5, Aug2019, page-03 NOx, Aug2019, page-03
Sep2019
(D7 - 9)
Ox, Sep2019, page-03 SPM, Sep2019, page-03 PM2.5, Sep2019, page-03 NOx, Sep2019, page-03
Month Ox SPM PM2.5 NOx
Oct2019
(D7 - 9)
Ox, Oct2019, page-03 SPM, Oct2019, page-03 PM2.5, Oct2019, page-03 NOx, Oct2019, page-03
Nov2019
(D7 - 9)
Ox, Nov2019, page-03 SPM, Nov2019, page-03 PM2.5, Nov2019, page-03 NOx, Nov2019, page-03
Dec2019
(D7 - 9)
Ox, Dec2019, page-03 SPM, Dec2019, page-03 PM2.5, Dec2019, page-03 NOx, Dec2019, page-03
Month Ox SPM PM2.5 NOx

 参照資料

 領域設定・統計値計算手順

統計値算出に用いた領域設定.
領域設定
Analysis domain

領域は全て矩形領域で設定.境界となる緯度経度は下記:

  • Domain-1: 日本全国 (24.0-46.0N, 120.0-150.0E)
  • Domain-2: 沖縄・奄美 (24.0-30.0N, 122.0-132.0E)
  • Domain-3: 九州・山口 (30.0-35.0N, 125.0-132.2E)
  • Domain-4: 中国・四国 (32.0-38.0N, 132.2-135.0E)
  • Domain-5: 近畿 (33.0-37.0N, 134.7-136.5E)
  • Domain-6: 中部 (34.0-38.5N, 136.5-138.5E)
  • Domain-7: 関東 (34.0-37.0N, 138.5-141.0E)
  • Domain-8: 東北 (37.0-41.5N, 138.5-143.0E)
  • Domain-9: 北海道 (41.5-46.0N, 138.5-146.0E)

パーセンタイル値の算出手順は下記:

  • 領域内の全測定局(一般局,自排局など)を使用
  • 同一時刻のすべての有効測定データのパーセンタイル値(10, 50, 90%値)を算出. より正確に表現すると,パーセンタイル値に相当する濃度順位(小数点以下四捨五入)を算出し, その順位の測定局の値を使用.つまり,すべて整数値である.